Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.
In this hybrid role, you will report to a Research Director
You will:
- Design controlled experiments to verify hypotheses and draw trustworthy conclusions
- Build necessary training and data infrastructure through collaboration with cross-functional teams
- Articulate the motivations and findings with team members through writing up and presentations
You have:
- 10+ years of experience designing and optimizing neural networks using Transformers and ConvNets
- Strong track record in developing deep learning algorithms such as architecture and optimization
- Extensive knowledge of deep learning optimization, loss function, and scalable neural network architectures
- Strong problem-solving skills to tackle open challenges
- Self-motivated to design experiments and to draw conclusions from results
We prefer:
- PhD or strong track record of execution in computer science, statistics, mathematics, physics, or another
- Related experience in model scaling and/or data scaling & curation
- Related expertise in self-supervised learning and generative modeling for perception
- Related experience in VLM and LLM
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$226,000—$286,000 USD
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
